update

README.md

@@ -2,3 +2,5 @@
 license: apache-2.0
 ---
 
+
+

UTS_WTK.py

@@ -10,11 +10,31 @@ _CITATION = """\
 
 _BASE_URL = "https://huggingface.co/datasets/undertheseanlp/UTS_WTK/raw/main/data/"
 TRAIN_FILE = "train.txt"
-DEV_FILE = "dev.txt"
+DEV_FILE = "validation.txt"
 TEST_FILE = "test.txt"
 
 
+class UTSWTKConfig(datasets.BuilderConfig):
+    """BuilderConfig"""
+
+    def __init__(self, **kwargs):
+        super(UTSWTKConfig, self).__init__(**kwargs)
+
+
 class UTSWTK(datasets.GeneratorBasedBuilder):
+    """UTS Word Tokenize datasets"""
+    VERSION = datasets.Version("1.0.0")
+    BUILDER_CONFIGS = [
+        # UTSWTKConfig(
+            # name="small", version=VERSION, description="UTS_WTK Small"),
+        UTSWTKConfig(
+            name="base", version=VERSION, description="UTS_WTK Base"),
+        # UTSWTKConfig(
+        #     name="large", version=VERSION, description="UTS_WTK Large"),
+    ]
+
+    BUILDER_CONFIG_CLASS = UTSWTKConfig
+
     def _info(self):
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
@@ -34,9 +54,10 @@ class UTSWTK(datasets.GeneratorBasedBuilder):
 
     def _split_generators(self, dl_manager):
         """Returns SplitGenerators."""
-        train_file = dl_manager.download(os.path.join(_BASE_URL, TRAIN_FILE))
-        dev_file = dl_manager.download(os.path.join(_BASE_URL, DEV_FILE))
-        test_file = dl_manager.download(os.path.join(_BASE_URL, TEST_FILE))
+        subset_folder = self.config.name
+        train_file = dl_manager.download(os.path.join(_BASE_URL, subset_folder, TRAIN_FILE))
+        dev_file = dl_manager.download(os.path.join(_BASE_URL, subset_folder, DEV_FILE))
+        test_file = dl_manager.download(os.path.join(_BASE_URL, subset_folder, TEST_FILE))
 
         splits = [
             datasets.SplitGenerator(

generate_dataset.py

@@ -1,43 +1,40 @@
+import os
+import shutil
+from os.path import dirname, join
+
 from datasets import load_dataset
 from underthesea import word_tokenize
 from underthesea.pipeline.word_tokenize.regex_tokenize import tokenize
-from os.path import dirname, join
 from underthesea.utils import logger
 
-dataset = load_dataset("undertheseanlp/UTS_Text_v1")
 
-sentences = dataset["train"]["text"]
+def create_wtk_dataset(text_dataset, output_folder):
+    if os.path.exists(output_folder):
+        shutil.rmtree(output_folder)
+    os.makedirs(output_folder)
+    for split in ["train", "validation", "test"]:
+        sentences = text_dataset[split]["text"]
+        with open(join(output_folder, f"{split}.txt"), "w") as f:
+            for sentence in sentences:
+                items = word_tokenize(sentence)
+                for item in items:
+                    tokens = item.split()
+                    for i, token in enumerate(tokens):
+                        if i > 0:
+                            f.write(f"{token}\tI-W\n")
+                        else:
+                            f.write(f"{token}\tB-W\n")
+                f.write("\n")
+
+
 pwd = dirname(__file__)
-train_file = join(pwd, "data/train.txt")
-dev_file = join(pwd, "data/dev.txt")
-test_file = join(pwd, "data/test.txt")
-# write empty files
-for file in [train_file, dev_file, test_file]:
-    with open(file, "w") as f:
-        f.write("")
-
-f = open(train_file, "a")
-content = ""
-for j, s in enumerate(sentences):
-    if j == 8000:
-        f.close()
-        f = open(dev_file, "a")
-    if j == 9000:
-        f.close()
-        f = open(test_file, "a")
-    words = word_tokenize(s)
-    for word in words:
-        tokens = tokenize(word)
-        for i, token in enumerate(tokens):
-            if i == 0:
-                tag = "B-W"
-            else:
-                tag = "I-W"
-            content += token + "\t" + tag + "\n"
-    content += "\n"
-    if j % 1000 == 999:
-        f.write(content)
-        content = ""
-        logger.info(j)
-
-f.close()
+data_folder = join(pwd, "data")
+
+text_dataset = load_dataset("undertheseanlp/UTS_Text", "small")
+create_wtk_dataset(text_dataset, join(data_folder, "small"))
+
+text_dataset = load_dataset("undertheseanlp/UTS_Text", "base")
+create_wtk_dataset(text_dataset, join(data_folder, "base"))
+
+text_dataset = load_dataset("undertheseanlp/UTS_Text", "large")
+create_wtk_dataset(text_dataset, join(data_folder, "large"))